Machine Learning Engineer (Remote)

Job Type: Full-Time

Location: Remote — United States

Employment Type: Full-Time

Work Authorization: Candidates must be authorized to work in the United States

We are looking for a talented and motivated Machine Learning Engineer to join our team in a fully remote position. The ideal candidate will have strong experience building, deploying, and maintaining machine learning models and data-driven solutions in production environments.

You will work closely with software engineers, data scientists, data engineers, and business stakeholders to develop scalable ML solutions that address real-world business problems.

• Design, develop, train, and deploy machine learning models.
• Prepare, clean, and transform large datasets for machine learning applications.
• Develop scalable and reliable ML pipelines.
• Evaluate model performance and improve accuracy, efficiency, and scalability.
• Implement machine learning solutions in production environments.
• Collaborate with Data Scientists and Data Engineers on model development and deployment.
• Develop APIs and services to integrate ML models into applications.
• Monitor model performance and address model/data drift.
• Implement best practices for model versioning, testing, deployment, and monitoring.

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• Work with cloud platforms to deploy and scale machine learning workloads.
• Document models, pipelines, experiments, and technical processes.
• Stay current with developments in machine learning, artificial intelligence, and MLOps.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 2+ years of experience in Machine Learning Engineering, Data Science, or a related role.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of machine learning algorithms and statistical concepts.
• Experience working with SQL and structured/unstructured data.
• Experience building and deploying ML models in production.
• Strong understanding of software engineering principles, including Git, testing, and CI/CD.
• Strong analytical and problem-solving skills.

• Experience with AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with Docker and Kubernetes.

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• Knowledge of MLOps practices and tools.
• Experience with ML platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning.
• Experience with NLP, recommendation systems, computer vision, or generative AI/LLMs.
• Experience working with distributed data processing frameworks such as Spark.
• Familiarity with REST APIs and microservices architecture.
• Experience working in Agile/Scrum environments.

• Fully remote work environment.
• Competitive compensation.
• Opportunity to work on challenging AI/ML projects.
• Professional development and learning opportunities.
• Collaborative and flexible work culture.

[Company Name] is an equal opportunity employer. We are committed to providing an inclusive workplace and consider qualified candidates without regard to legally protected characteristics under applicable federal, state, or local law.

• Please submit your resume highlighting your experience with Python, machine learning, cloud platforms, model deployment, and MLOps.